Make (Integromat) vs Workato
A detailed comparison of Make (Integromat) and Workato. Find out which AI Operations solution is right for your team.
📌Key Takeaways
- 1Make (Integromat) vs Workato: Comparing 6 criteria.
- 2Make (Integromat) wins 6 categories, Workato wins 0, with 0 ties.
- 3Make (Integromat): 4.3/5 rating. Workato: 4.7/5 rating.
- 4Overall recommendation: Make (Integromat) edges ahead in this comparison.
Make (Integromat)
Visual automation platform with AI agents, 2,000+ app integrations, and advanced workflow logic for complex automations
Workato
Enterprise automation platform with AI/ML capabilities for complex integrations, workflows, and business process automation
6
Make (Integromat) wins
0
Ties
0
Workato wins
Feature Comparison
| Criteria | Make (Integromat) | Workato | Winner |
|---|---|---|---|
| Workflow Complexity | 4 | 3 | Make (Integromat) |
| Integrations | 4 | 3 | Make (Integromat) |
| Error Handling | 5 | 4 | Make (Integromat) |
| Scalability | 5 | 4 | Make (Integromat) |
| Monitoring | 5 | 4 | Make (Integromat) |
| Ease of Use | 5 | 4 | Make (Integromat) |
Detailed Analysis
Workflow Complexity
Make (Integromat)Make (Integromat)
Make (Integromat)'s workflow complexity capabilities
Workato
Workato's workflow complexity capabilities
Comparing workflow complexity between Make (Integromat) and Workato.
Integrations
Make (Integromat)Make (Integromat)
Make (Integromat)'s integrations capabilities
Workato
Workato's integrations capabilities
Comparing integrations between Make (Integromat) and Workato.
Error Handling
Make (Integromat)Make (Integromat)
Make (Integromat)'s error handling capabilities
Workato
Workato's error handling capabilities
Comparing error handling between Make (Integromat) and Workato.
Scalability
Make (Integromat)Make (Integromat)
Make (Integromat)'s scalability capabilities
Workato
Workato's scalability capabilities
Comparing scalability between Make (Integromat) and Workato.
Monitoring
Make (Integromat)Make (Integromat)
Make (Integromat)'s monitoring capabilities
Workato
Workato's monitoring capabilities
Comparing monitoring between Make (Integromat) and Workato.
Ease of Use
Make (Integromat)Make (Integromat)
Make (Integromat)'s ease of use capabilities
Workato
Workato's ease of use capabilities
Comparing ease of use between Make (Integromat) and Workato.
Feature-by-Feature Breakdown
Visual Scenario Builder
Make (Integromat)Make (Integromat)
Make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecting them with data flow lines. Each module represents a specific action within an application—such as creating a record, sending an email, or fetching data—and users configure these modules through intuitive forms rather than code. The visual approach makes complex workflows comprehensible at a glance, with color-coded modules, clear data flow indicators, and the ability to zoom in on specific sections or view the entire automation architecture. Users can build branching logic with routers, handle errors gracefully with dedicated error handlers, and iterate over data sets using built-in array functions. Enables non-technical users to build sophisticated automations that would traditionally require developer resources, reducing automation development time by up to 90%.
✓ Enables non-technical users to build sophisticated automations that would traditionally require developer resources, reducing automation development time by up to 90%
Workato
Workato's AI Copilot revolutionizes automation development by enabling users to create sophisticated workflow recipes through natural language conversation. Users simply describe their business process requirements in plain English—such as 'When a new lead is created in Salesforce, check if they exist in our marketing database, and if not, create a new contact and add them to our nurture campaign'—and the AI automatically generates a complete, functional recipe with all necessary triggers, actions, conditional logic, and data mappings. The system understands business context, recognizes application-specific terminology, and suggests optimal integration patterns based on best practices learned from millions of existing recipes. Reduces automation development time by up to 80% while enabling non-technical business users to create enterprise-grade integrations without coding expertise.
✓ Reduces automation development time by up to 80% while enabling non-technical business users to create enterprise-grade integrations without coding expertise
Both Make (Integromat) and Workato offer Visual Scenario Builder. Make (Integromat)'s approach focuses on make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecting them with data flow lines., while Workato emphasizes workato's ai copilot revolutionizes automation development by enabling users to create sophisticated workflow recipes through natural language conversation.. Choose based on which implementation better fits your workflow.
1,500+ App Integrations
Make (Integromat)Make (Integromat)
Make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanning every major category of business software. Each integration includes multiple modules covering the full range of actions available in that application's API, from basic CRUD operations to advanced functionality. The integrations are continuously updated to reflect API changes and new features, ensuring reliability and access to the latest capabilities. For applications without native integrations, Make provides universal HTTP modules, webhook triggers, and GraphQL support that can connect to virtually any web service with an API. Eliminates the need for custom API development for the vast majority of integration needs, allowing teams to connect their entire tech stack within a single platform.
✓ Eliminates the need for custom API development for the vast majority of integration needs, allowing teams to connect their entire tech stack within a single platform
Workato
Workato provides an extensive library of over 1,000 pre-built connectors that enable seamless integration with virtually any enterprise application, from major platforms like Salesforce, SAP, Oracle, and Microsoft to specialized industry solutions and custom APIs. Each connector is meticulously maintained and updated to reflect the latest API changes, ensuring reliable connectivity without manual maintenance overhead. The connectors support both real-time event-driven triggers and scheduled polling, with built-in authentication handling, rate limiting, and error recovery mechanisms that abstract away the complexity of API integration. Eliminates the need to build and maintain custom integrations, dramatically accelerating time-to-value while ensuring enterprise reliability and security compliance.
✓ Eliminates the need to build and maintain custom integrations, dramatically accelerating time-to-value while ensuring enterprise reliability and security compliance
Both Make (Integromat) and Workato offer 1,500+ App Integrations. Make (Integromat)'s approach focuses on make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanning every major category of business software., while Workato emphasizes workato provides an extensive library of over 1,000 pre-built connectors that enable seamless integration with virtually any enterprise application, from major platforms like salesforce, sap, oracle, and microsoft to specialized industry solutions and custom apis.. Choose based on which implementation better fits your workflow.
Advanced Data Transformation
Make (Integromat)Make (Integromat)
Make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between applications. The platform provides over 100 built-in functions covering text manipulation, mathematical operations, date/time formatting, array processing, and data type conversion. Users can access these functions through a visual formula builder that provides autocomplete suggestions and real-time validation. Complex transformations that would require custom code in other platforms can be accomplished through Make's visual interface, including parsing JSON/XML, aggregating data from multiple sources, and restructuring nested data objects. Ensures data compatibility between applications with different data formats and structures, eliminating manual data cleanup and transformation tasks.
✓ Ensures data compatibility between applications with different data formats and structures, eliminating manual data cleanup and transformation tasks
Workato
Workbot transforms enterprise messaging platforms like Slack and Microsoft Teams into powerful automation interfaces, enabling employees to trigger workflows, retrieve information, and complete business processes through natural conversation. Users can interact with Workbot using simple commands or questions—such as 'Create a new opportunity for Acme Corp' or 'What's the status of order #12345?'—and the bot executes the appropriate automation recipe, pulling data from connected systems and presenting results in a user-friendly format. Workbot supports interactive buttons, forms, and approval workflows directly within the messaging interface. Brings automation directly into employees' daily workflow tools, increasing adoption and enabling instant access to business processes without switching applications.
✓ Brings automation directly into employees' daily workflow tools, increasing adoption and enabling instant access to business processes without switching applications
Both Make (Integromat) and Workato offer Advanced Data Transformation. Make (Integromat)'s approach focuses on make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between applications., while Workato emphasizes workbot transforms enterprise messaging platforms like slack and microsoft teams into powerful automation interfaces, enabling employees to trigger workflows, retrieve information, and complete business processes through natural conversation.. Choose based on which implementation better fits your workflow.
Execution History & Debugging
Make (Integromat)Make (Integromat)
Every scenario execution in Make is logged with complete visibility into each step's input data, output data, and processing time. Users can replay any historical execution to understand exactly what happened, making troubleshooting straightforward even for complex multi-step workflows. The platform provides real-time execution monitoring where users can watch data flow through their scenarios step by step, with the ability to pause execution and inspect intermediate values. Failed executions are automatically flagged with detailed error messages and the option to retry from the point of failure rather than restarting the entire workflow. Reduces debugging time from hours to minutes by providing complete transparency into automation execution, enabling rapid identification and resolution of issues.
✓ Reduces debugging time from hours to minutes by providing complete transparency into automation execution, enabling rapid identification and resolution of issues
Workato
Workato's comprehensive lifecycle management capabilities provide enterprise IT teams with the governance, version control, and deployment tools necessary to manage automation at scale. The platform supports development, testing, and production environments with automated promotion workflows, enabling teams to safely develop and test recipes before deploying to production. Built-in version control tracks every change with full audit trails, allowing teams to review modifications, compare versions, and roll back to previous states when needed. Role-based access controls ensure appropriate permissions across teams. Enables enterprise-scale automation governance with the same rigor applied to traditional software development, reducing risk while accelerating deployment velocity.
✓ Enables enterprise-scale automation governance with the same rigor applied to traditional software development, reducing risk while accelerating deployment velocity
Both Make (Integromat) and Workato offer Execution History & Debugging. Make (Integromat)'s approach focuses on every scenario execution in make is logged with complete visibility into each step's input data, output data, and processing time., while Workato emphasizes workato's comprehensive lifecycle management capabilities provide enterprise it teams with the governance, version control, and deployment tools necessary to manage automation at scale.. Choose based on which implementation better fits your workflow.
Teams & Organizations
Make (Integromat)Make (Integromat)
Make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized administration. Organizations can create team workspaces where members collaborate on scenarios while maintaining appropriate permission boundaries—some users may have full editing rights while others can only view or execute automations. The platform includes version history for scenarios, allowing teams to track changes over time and roll back to previous versions if needed. Enterprise customers gain additional governance features including audit logs, SSO integration, and the ability to enforce organizational policies across all team automations. Enables automation centers of excellence where teams can collaborate on building, maintaining, and governing automations across the organization with appropriate oversight.
✓ Enables automation centers of excellence where teams can collaborate on building, maintaining, and governing automations across the organization with appropriate oversight
Workato
Workato's real-time streaming capabilities enable organizations to process and act on business events as they occur, rather than relying on batch processing or scheduled synchronization. The platform's event-driven architecture captures triggers from source systems instantly—whether a new customer record, an inventory update, or a support ticket escalation—and executes the corresponding automation workflow in milliseconds. This real-time processing supports high-throughput scenarios with automatic scaling, ensuring consistent performance even during peak activity periods while maintaining data integrity and transaction ordering. Enables instant business responsiveness with sub-second automation execution, critical for time-sensitive processes like fraud detection, inventory management, and customer engagement.
✓ Enables instant business responsiveness with sub-second automation execution, critical for time-sensitive processes like fraud detection, inventory management, and customer engagement
Both Make (Integromat) and Workato offer Teams & Organizations. Make (Integromat)'s approach focuses on make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized administration., while Workato emphasizes workato's real-time streaming capabilities enable organizations to process and act on business events as they occur, rather than relying on batch processing or scheduled synchronization.. Choose based on which implementation better fits your workflow.
Strengths & Weaknesses
Make (Integromat)
Strengths
- ✓Visual Scenario Builder: Make's visual scenario builder provides an infinite canvas where users construct automations by dragging and dropping application modules and connecti...
- ✓1,500+ App Integrations: Make maintains one of the largest libraries of pre-built application integrations in the automation industry, with over 1,500 native connectors spanni...
- ✓Advanced Data Transformation: Make includes a comprehensive suite of data transformation functions that allow users to manipulate, format, and restructure data as it flows between...
- ✓Execution History & Debugging: Every scenario execution in Make is logged with complete visibility into each step's input data, output data, and processing time. Users can replay an...
- ✓Teams & Organizations: Make's collaboration features enable teams to work together on automation projects with role-based access controls, shared folders, and centralized ad...
Weaknesses
- ✗AI-generated content requires human review to ensure accuracy and brand voice consistency.
- ✗Initial setup and integration may require technical resources or onboarding support.
- ✗Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.
Workato
Strengths
- ✓AI Copilot Recipe Builder: Workato's AI Copilot revolutionizes automation development by enabling users to create sophisticated workflow recipes through natural language convers...
- ✓Enterprise-Grade Connector Library: Workato provides an extensive library of over 1,000 pre-built connectors that enable seamless integration with virtually any enterprise application, f...
- ✓Workbot Conversational Automation: Workbot transforms enterprise messaging platforms like Slack and Microsoft Teams into powerful automation interfaces, enabling employees to trigger wo...
- ✓Recipe Lifecycle Management: Workato's comprehensive lifecycle management capabilities provide enterprise IT teams with the governance, version control, and deployment tools neces...
- ✓Real-Time Data Streaming: Workato's real-time streaming capabilities enable organizations to process and act on business events as they occur, rather than relying on batch proc...
Weaknesses
- ✗AI-generated content requires human review to ensure accuracy and brand voice consistency.
- ✗Initial setup and integration may require technical resources or onboarding support.
- ✗Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.
Use Case Fit
AI SDR: Automated Outbound Prospecting
Make (Integromat)
Approach: Make (Integromat) automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.
Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.
Workato
Approach: Workato automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.
Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.
Recommendation: Both Make (Integromat) and Workato support this use case effectively. Compare their approaches and choose based on which aligns better with your existing processes.
Lead Qualification and Scoring
Make (Integromat)
Approach: Make (Integromat) uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.
Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.
Workato
Approach: Workato uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.
Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.
Recommendation: Both Make (Integromat) and Workato support this use case effectively. Compare their approaches and choose based on which aligns better with your existing processes.
Industry-Specific Fit
| Industry | Make (Integromat) | Workato | Better Fit |
|---|---|---|---|
| E-commerce | Make serves e-commerce businesses by automating the complex workflows that span order management, inventory synchronization, customer communication, and fulfillment operations. Online retailers use Make to connect their storefronts (Shopify, WooCommerce, BigCommerce) with inventory systems, shipping carriers, accounting software, and customer service platforms, ensuring that orders flow seamlessly from purchase to delivery without manual intervention. Common automations include syncing product catalogs across multiple sales channels, automatically updating inventory levels when orders are placed, generating shipping labels and tracking notifications, and triggering post-purchase email sequences. | Not specified | Make (Integromat) |
| Marketing & Advertising | Marketing teams leverage Make to orchestrate campaigns across multiple channels, synchronize audience data between platforms, and automate reporting workflows. The platform connects advertising platforms (Google Ads, Facebook Ads, LinkedIn), email marketing tools (Mailchimp, ActiveCampaign, HubSpot), social media management systems, and analytics platforms into unified workflows. Marketers use Make to automatically sync leads from ad campaigns to CRM systems, trigger personalized email sequences based on user behavior, aggregate campaign performance data into dashboards, and coordinate content publishing across social channels. | Not specified | Make (Integromat) |
| SaaS & Technology | Software companies use Make to automate internal operations, enhance their products with integrations, and streamline customer onboarding processes. Development teams connect Make to project management tools, code repositories, CI/CD pipelines, and monitoring systems to automate DevOps workflows. Product teams use Make to sync customer data between their application and third-party services, automate user provisioning, and trigger notifications based on product events. Customer success teams automate onboarding sequences, usage tracking, and renewal workflows. | Not specified | Make (Integromat) |
| Professional Services | Consulting firms, agencies, and professional service providers use Make to automate client management, project tracking, time billing, and document workflows. The platform connects CRM systems with project management tools, accounting software, and document repositories to create end-to-end client lifecycle automation. Common use cases include automatically creating project structures when deals close, syncing time entries to invoicing systems, generating client reports from multiple data sources, and automating contract and proposal workflows. | Consulting firms, agencies, and professional services organizations use Workato to automate project management workflows, synchronize time tracking with billing systems, and streamline client onboarding processes. The platform connects CRM systems with project delivery tools, enabling seamless handoffs between sales and delivery teams. Resource management automation helps optimize utilization and profitability. | Make (Integromat) |
| Healthcare | Healthcare organizations leverage Make to automate patient communication, appointment management, and administrative workflows while maintaining compliance with privacy regulations. The platform connects electronic health record systems, scheduling software, patient communication tools, and billing systems. Healthcare providers use Make to automate appointment reminders, patient intake form processing, insurance verification workflows, and care coordination communications between providers. | Not specified | Make (Integromat) |
| Financial Services | Financial services firms use Make to automate data processing, client reporting, compliance workflows, and operational processes. The platform connects trading systems, portfolio management tools, CRM systems, and reporting platforms. Common automations include aggregating data from multiple sources for client reports, automating compliance documentation, syncing client information across systems, and triggering alerts based on market conditions or account changes. | Financial institutions rely on Workato to automate complex compliance workflows, streamline customer onboarding processes, and integrate legacy core banking systems with modern fintech applications. The platform's enterprise security certifications and audit capabilities meet stringent regulatory requirements for SOX, PCI-DSS, and other financial compliance frameworks. Banks and insurance companies use Workato to automate claims processing, fraud detection workflows, and regulatory reporting. | Tie |
| Education | Educational institutions and EdTech companies use Make to automate student communication, enrollment processes, learning management workflows, and administrative operations. The platform connects learning management systems, student information systems, communication tools, and payment processors. Schools and training providers automate enrollment confirmations, course reminders, certificate generation, progress tracking notifications, and integration between online learning platforms and administrative systems. | Educational institutions deploy Workato to integrate student information systems with learning management platforms, automate admissions workflows, and streamline administrative processes. The platform enables seamless data flow between enrollment, financial aid, and academic systems. Universities use Workato to automate research administration, grant management, and compliance reporting. | Make (Integromat) |
| Real Estate | Real estate professionals use Make to automate lead management, property listing syndication, transaction coordination, and client communication workflows. The platform connects CRM systems, listing platforms, document management tools, and communication channels. Agents and brokerages automate lead capture and distribution, property alert notifications, transaction milestone tracking, and marketing campaign coordination across multiple listing services. | Not specified | Make (Integromat) |
Our Verdict
Make (Integromat) and Workato are both strong AI Operations solutions. Make (Integromat) excels at visual scenario builder. Both support key use cases like ai sdr: automated outbound prospecting, but with different approaches. Choose based on which specific features and approach best fit your workflow and requirements.
Choose Make (Integromat) if you:
- ✓You need visual scenario builder capabilities
- ✓You need 1,500+ app integrations capabilities
- ✓You operate in E-commerce
- ✓AI SDR: Automated Outbound Prospecting is your primary use case
Choose Workato if you:
- ✓You operate in Technology & SaaS
- ✓AI SDR: Automated Outbound Prospecting is your primary use case
- ✓You prefer Workato's approach to ai operations
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Sources & Evidence
Visual scenario builder with AI-powered automation suggestions and natural language workflow creation for building complex multi-step automations without coding
Source: Make's visual scenario editor combined with AI capabilities allows users to build workflows by connecting apps visually on an infinite canvas, with AI suggesting automation patterns and optimizations based on usage patterns. The platform processes over 2 billion operations monthly across its user base and supports 1,500+ pre-built integrations with native connectors, making it one of the most comprehensive no-code automation platforms available. Users can describe workflows in plain English and have Make generate the corresponding automation structure, dramatically reducing time-to-value for new automations.
AI-powered recipe automation with natural language processing that allows non-technical users to create complex workflows by describing business processes in plain English
Source: Workato's Copilot feature uses generative AI to automatically generate workflow recipes from natural language descriptions, reducing automation development time by up to 80% compared to manual recipe building. This differentiates it from competitors who require more technical expertise or manual configuration. The AI understands business context, suggests optimal integration patterns, and automatically handles data mapping between disparate systems.